Full-Time
WorldQuant
1,001-5,000 employees
Quantitative asset management using predictive algorithms
Compensation Overview
$60k - $120k/yr
Entry, Junior
Stamford, CT, USA + 1 more
More locations: New York, NY, USA
Position based in Old Greenwich, CT or New York, NY.
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- Familiarity and proficiency in using BRAIN or BRAIN Research Consultant preferred
- Possess or expect a Bachelor’s degree or advanced degree in engineering, science, mathematics, finance or any other related field that is highly analytical and quantitative from a leading university
- Demonstrated programming experience in one of the following (Java/C++/C/Python/MySQL/SQL Server); knowledge of UNIX preferred
- Possess a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges
- Have a strong interest in learning about worldwide financial markets
- Possess good communication and presentation skills in English
- Create and develop Alphas and other utilization algorithms on BRAIN
- Conduct research on academic quantitative finance literature
- Identify and design new research domains. Generate ideas to grow the domain
- Analyze current functionalities available to researchers, identify any issues with the platform and provide solutions and recommendations to the BRAIN team
- Design and test new functionalities and datasets on the BRAIN platform
- Work with BRAIN Strategy and Operations country heads and other Business Development partners to enhance & implement BRAIN business strategy for user and consultant acquisition
- Conduct training sessions for BRAIN users and consultants
- Prepare and update training curriculum of BRAIN
- Familiarity and proficiency in using BRAIN or BRAIN Research Consultant preferred
- Knowledge of UNIX preferred
WorldQuant is a quantitative asset management firm that focuses on managing investments for institutional clients like pension funds and sovereign wealth funds. The firm uses data and predictive algorithms to analyze financial markets and identify investment opportunities. Its approach involves creating mathematical models that guide algorithmic trading strategies to generate returns. Unlike many competitors, WorldQuant encourages a culture of experimentation and innovation among its employees, allowing everyone to contribute ideas regardless of their position. The company's goal is to effectively manage assets and deliver strong returns for its clients while fostering an inclusive work environment.
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
$148.5M
Headquarters
Greenwich, Connecticut
Founded
2007
Simplify's Take
What believers are saying
- Increased interest in ESG investing could attract more institutional investors.
- Advancements in quantum computing may revolutionize algorithmic trading for WorldQuant.
- The rise of alternative data sources enhances predictive algorithms and trading strategies.
What critics are saying
- Increased competition from firms like Two Sigma and Renaissance Technologies.
- Potential talent poaching by larger firms or tech companies.
- Regulatory scrutiny on algorithmic trading practices is intensifying.
What makes WorldQuant unique
- WorldQuant employs over 1,000 professionals across 27 global offices.
- The firm uses data, talent, and predictive algorithms to manage assets.
- WorldQuant encourages innovation and equal opportunity among its employees.
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Benefits
Performance Bonus
Flexible Work Hours
Company News
WorldQuant has just announced its fifth annual International Quant Championship (IQC), a three-stage team-based competition with a prize pool of $100k.
Karolis Jankauskas joined ADIA last month from Millennium spinoff Worldquant, where he was VP of deep research data science.
WorldQuant, the Connecticut-headquartered hedge fund firm founded in 2007 by ex-video game programmer-turned portfolio manager Igor Tulchinsky, has appointed James Henderson as deputy general manager based in London, according to a report by Reuters.